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Lead Data Architect for Strategic Growth
2 weeks ago
The ideal candidate will lead diverse teams with varying skillsets, leveraging different data and analytics technologies to drive growth. As a key member of the team, you'll create a positive learning culture, coach junior members, and foster professional growth.
This role is pivotal in enabling clients to derive significant value from their information assets through collaboration and domain expertise. You'll play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements.
- Design and implement data artefacts, including data modelling, integration, storage, and governance based on industry best practices and client-specific requirements.
- Develop comprehensive documentation for data models, processes, and governance frameworks to ensure clarity and compliance.
- Collaborate with cross-functional teams to translate business requirements into technical specifications and architectural designs.
- Lead diverse teams with varying skillsets, leveraging different data and analytics technologies.
- Adapt your leadership style to fit team, client, and cultural needs.
- Create a positive learning culture and coach junior members.
- Design and implement data artefacts, including data modelling, integration, storage, and governance.
- Develop comprehensive documentation for data models, processes, and governance frameworks.
- Collaborate with cross-functional teams to translate business requirements into technical specifications and architectural designs.
- Minimum 5 years of experience in data analysis and strategy, with a proven track record of creating impactful visual stories from complex datasets.
- Strong academic record, including a bachelor's or master's degree in computer science, Information Systems, or a related field.
- Proven expertise in data modelling and database designs, including ER models, Dimensional models, Data Vaults, and Hierarchical/Network data models.
- Extensive experience in developing code for both SQL and NoSQL databases, with proficiency across various database platforms, both on-prem and in cloud.
- Extensive knowledge of data integration techniques, ETL processes, and data warehouse design.
- Familiarity with big data technologies, such as Hadoop, Spark, or cloud-based data services (e.g., AWS, Azure, Google Cloud) to handle large-scale data processing and analytics.
- Understanding of data quality principles and practices, including data profiling, cleansing, and validation techniques to ensure high-quality data.
- Ability to create comprehensive documentation for data models, processes, and governance frameworks to ensure clarity and compliance.
- Proven experience in modelling and handling real-time data streams using technologies such as Apache Kafka, Apache Flink, or similar tools to support real-time analytics and decision-making.
- Experience in designing and implementing data governance frameworks and practices.
- Strong analytical and problem-solving skills, with the ability to understand complex business requirements and design innovative data solutions.
- Excellent client-facing skills, with the ability to build rapport, communicate effectively, and manage relationships with clients at various levels of the organization.
- Strong leadership abilities, with the capacity to lead and mentor a team of consultants and drive successful project outcomes.
- Competitive remuneration package, including flexible working arrangements and career development opportunities.
- Comprehensive Total Rewards package, including support for flexible working and career development, and with FlexEY, you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers, and promotions.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that's right for you.
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